Triple
T23423111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marcelle Tagand Lear |
E560717
|
entity |
| Predicate | spouseCountWithAdamWest |
P125420
|
FINISHED |
| Object | 1 |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1 | Statement: [Marcelle Tagand Lear, spouseCountWithAdamWest, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseCountWithAdamWest Context triple: [Marcelle Tagand Lear, spouseCountWithAdamWest, 1]
-
A.
spouseCountIncludes
Indicates that the recorded count of spouses for an entity includes the referenced spouse or spouses within that total.
-
B.
spouseCount
Indicates the number of spouses an entity has.
-
C.
spouseCountWith
chosen
Indicates the number of spouses an entity has in relation to another specified entity or context.
-
D.
hasSpouseActorsInLeads
Indicates that the primary leading roles in a work are performed by actors who are spouses of each other.
-
E.
hasNumberOfChildrenWithSpouse
Indicates the count of children that an individual has specifically with a given spouse.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2454cb1108190ab21ada5411a7146 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a54780d88190a7d5c1426b85b7fc |
completed | April 29, 2026, 6:29 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:47 p.m.